Find your next AI Engineering role

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build on. Founded by MIT PhDs and CMU Professor, the company leverages deep research expertise and production systems experience. The Role focuses on bringing new image and video models to the Modelverse platform, prioritizing speed to launch. You will own the initial integration, coordinate deployment with the cloud team, and work with product engineers on API and Modelverse integration. After launch, you will hand off optimization tasks and maintain the shared code for model integration and serving.

$170k - $240k

Oxus is seeking a Founding Engineer to join its early-stage team, which is building AI-powered solutions to automate internal audit workflows for public and pre-IPO companies. The company's platform is already used by leading payroll providers, public biotechs, and social media enterprises to streamline the manual processes involved in gathering, reviewing, and documenting information for internal audits. The Founding Engineer will play a crucial role in developing these AI systems, ensuring accuracy, traceability, and reviewability in high-stakes workflows. This is an opportunity to significantly impact the product, architecture, and engineering culture of a fast-growing startup backed by prominent investors.

$150k - $250k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build upon. We are seeking a Machine Learning Engineer focused on post-training and evaluation to enhance the efficiency and quality of visual generative models. In this role, you will develop and validate post-training techniques, curate and manage data pipelines for training and evaluation, and build robust evaluation systems to measure model performance. You will also benchmark models against industry standards, ensure quality, and integrate cutting-edge research into production workflows.

$180k - $250k

Decagon is seeking a Research Engineer focused on Audio and Speech to build and productionize models and agent harnesses for real-time voice agents. This role involves advancing multimodal and full-duplex systems capable of natural, real-time listening, reasoning, speaking, and responding. The ideal candidate will own their work end-to-end, ship impactful improvements, and make high-level technical decisions in a collaborative environment.

$200k - $400k

Decagon is seeking a Research Engineer focused on Safety to ensure the reliability and controllability of their AI agents. This role involves identifying real-world failure modes and developing the necessary models, evaluations, and safeguards to prevent them. The ideal candidate will be a strong engineer passionate about advancing applied AI safety in production, with the ability to own projects end-to-end and make high-impact technical decisions.

$200k - $400k

Decagon is seeking a Senior Research Engineer focused on Safety to ensure the reliability and controllability of their AI agents. This role involves identifying real-world failure modes and developing the necessary models, evaluations, and safeguards to prevent them. The ideal candidate will be a strong engineer passionate about advancing applied AI safety in production, taking ownership of their work from end-to-end, and making high-impact technical decisions.

$200k - $400k

The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, cultivate future AI builders, and make transformative contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions with the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing MBZUAI as a global hub for high-performance computing in deep learning and driving impactful discoveries.

$150k - $400k

Mercor is seeking a Software Engineer for their Applied AI - Frontier Engineering team to build, deploy, and operate systems that bridge frontier AI research and data delivery. This role involves high ownership and deep technical work, tackling ill-defined problems, prototyping with researchers and customers, and scaling systems from experiments to production. You will manage projects end-to-end, including requirements gathering, data creation pipelines, and improving model-adjacent infrastructure, while collaborating with AI labs and internal teams to deliver impactful applied AI solutions.

$160k - $500k

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the tolling industry, a market projected to double in the next decade. Our lean team operates across the entire system, from roadside cameras to final billing, ensuring every vehicle processed results in an accurate toll transaction. We are seeking an engineer who is passionate about shipping models into production and owning the full lifecycle from raw sensor data to deployment monitoring, cloud to edge. This role is ideal for someone who thrives on taking models from a notebook to real-world application.

$145k - $195k

Anthropic

As an Applied AI Research Engineer, you will explore the capabilities of Anthropic's models and products, validate them with real customers, and empower the Applied AI team to effectively sell and deliver these solutions. You will work closely with product teams to gain deep expertise on emerging capabilities and act as a crucial feedback loop, relaying field insights back to Product and Research to ensure future development aligns with customer needs. This role involves a blend of research, field expertise, and bridging the gap between customers and product development teams. You will need strong technical skills to push the boundaries of AI models, excellent communication abilities to explain complex features to various audiences, and the insight to translate field learnings into product improvements.

$300k - $400k

Salesforce is seeking an experienced Senior Engineering Manager to lead the Foundations team, which is responsible for the core infrastructure and platform that all other engineering teams build upon. This role involves growing the team from 7 to 12 engineers, driving improvements in delivery, reliability, and technical direction. The ideal candidate will combine deep expertise in platform and infrastructure with strong people leadership, operational rigor, and a proactive approach. This is a high-visibility role focused on shaping the reliability, scalability, and velocity of the entire engineering organization within a high-growth, AI-focused environment.

$173k - $260k

NVIDIA is seeking a Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement complex automated test plans for industry-leading GPU-accelerated computing products. You will be involved in system architecture, design, and performance modeling for new models and packages, as well as enabling GPU SKU bring-up, validation, and model enablement. A key part of the role involves developing and executing system-level stress and performance testing strategies using industry-leading Deep Learning/AI applications.

$136k - $259k

NVIDIA is seeking a Principal Scientist to lead the technical direction for synthetic data generation across its frontier model initiatives. This role involves defining and building open-source libraries within the NVIDIA NeMo ecosystem to create synthetic datasets for text, code, structured, and multimodal data. These datasets will be crucial for the pre- and post-training of large language models like Nemotron. The position blends hands-on software engineering with applied research in generative methods, requiring collaboration with various internal teams and external research labs.

$272k - $431k

As a Forward-Deployed Engineer at Crusoe, you will embed with internal teams such as SRE, Finance, Sales, or People Ops to understand their operations and build software that directly enhances their workflows. Your focus will be on creating applications, automations, or agents that make their work faster, clearer, and more dependable, with success measured by user adoption and the time/effort saved. This is a new function within the company, offering a unique opportunity to help shape its direction and leverage modern capabilities like AI agents and write-back BI tools to deliver impactful solutions rapidly.

$215k - $260k

Moveworks is building the runtime infrastructure that powers its AI agents, which deliver real-time responses to millions of enterprise users. This role focuses on distributed systems engineering at the core of agentic AI. The AI agents can plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Moveworks is building the runtime infrastructure that powers its AI agents, enabling them to orchestrate, execute, and deliver responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan, execute multi-step workflows, call tools, and interact with users, all while ensuring correctness, observability, and low latency. The successful candidate will build and own the systems that make these advanced agent capabilities possible.

Moveworks is building the runtime infrastructure that powers its AI agents, which are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan and execute multi-step workflows, interact with tools, and manage human input, all while ensuring correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

We are seeking a Senior Software Engineer to join our team and build the runtime infrastructure that powers Moveworks' AI agents. These agents are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI, enabling our AI agents to plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. You will build and own the core systems that make these advanced agent capabilities possible.

Cerebras Systems is seeking a Senior Software Engineer to build and operate the platform layer behind their engineering infrastructure. This role focuses on designing, building, and maintaining CI/CD systems, Kubernetes-based platforms, and deployment automation. You will work on cloud and on-premises infrastructure, developer environments, artifact management, and observability, ensuring these systems are reliable, scalable, and easy to operate. This is an engineering-focused role where you will automate repetitive tasks, debug complex issues across system boundaries, and drive durable software and platform improvements.

Cerebras Systems is seeking a hands-on SDET Technical Lead to establish and lead Release Integration Testing for AI Inference Core. This role is crucial for transforming integrated features into reliable production releases by defining the quality strategy across the entire release cycle, from feature integration to post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify and address release risks. This is a technical leadership position where you will design test architecture, lead debugging and release decisions, mentor engineers, and contribute to software and automation development.

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract crucial signals for training frontier AI models. The company's mission is to empower Physical AI and robotics teams to instantly find, curate, and stream the data they need. As a Software Engineer on the Data Systems team, you will build key capabilities for a high-throughput data engine over petabytes of video, lidar, and telemetry data, working directly on the architecture for real-time indexing, distributed storage/compute, and efficient dataloading to GPUs. This role offers high ownership across the stack in an agile, fast-paced startup environment.

$150k - $200k

At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. This role is central to our Anthropic practice, leading client conversations, demos, and delivery sessions to showcase the capabilities of Claude Code and Claude Cowork. You will be the primary technical expert, engaging with engineers and knowledge workers to provide direct answers and solutions. Your involvement begins early in the sales cycle, during discovery calls and technical scoping, to help prospects understand the possibilities before they commit. This is a hands-on role requiring direct experience with configuring agentic workflows, writing custom skills, and integrating with MCP systems.

OpenAI

This role focuses on oversight and system-level mitigations to enable increasingly capable AI agents to operate safely and autonomously in real environments. The team prioritizes building oversight systems used in practice today, both internally and externally, and studies longer-term questions about how agent systems can be supervised, constrained, and corrected. We are looking for a safety-minded researcher or engineer who can reason rigorously about security boundaries and agent behavior, then build and test practical mitigations. A background in AI control or security is welcome but not required.

$380k - $500k

OpenAI

The Agent Safety team is dedicated to ensuring that advanced AI agents operate safely, make sound judgments, and align with user intentions. The mission is to minimize the risk of severe unintended consequences from increasingly capable AI agents while maintaining their effectiveness and autonomy. This involves creating training methods, environments, and data to teach agents better decision-making, building evaluation systems to identify emerging risks, and developing oversight mechanisms to reduce harmful actions.

$380k - $500k

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. The Director of AI will be a builder, researcher, developer, and thought-partner to the CEO and CTO, responsible for discovering, prototyping, and proving out high-value applications of cutting-edge AI across business operations, product, and fundamental research. This role offers a unique opportunity to leverage significant resources, including a large dataset of RCT survey experiment results, an established team of engineers and scientists, academic partnerships, and direct access to enterprise customers for rapid product development.

$175k - $250k

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. The Director of AI will be a builder, researcher, developer, and thought-partner to the CEO and CTO, responsible for discovering, prototyping, and proving out high-value applications of cutting-edge AI across business operations, product, and fundamental research. This role offers a unique opportunity to leverage significant resources, including a large dataset of RCT survey experiment results, an established team of engineers and scientists, academic partnerships, and direct access to enterprise customers for rapid product development.

$175k - $250k

Lightning AI is seeking an AI Platform Support Engineer to join their US Customer Experience team. This role is designed for individuals who are technical partners to ML teams, helping them diagnose and resolve complex issues related to large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms. You will be instrumental in supporting engineers as they train models, deploy inference systems, and scale GPU workloads in production, tackling problems ranging from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking, and storage performance. This position offers exposure to diverse AI workloads and the opportunity to shape the infrastructure powering future ML applications.

$115k - $140k

Lightning AI is seeking an experienced Senior Research Engineer to join their Research Engineering function. This role will focus on advancing the training, fine-tuning, evaluation, and deployment of large language models across Lightning AI's platform and customer workloads. The ideal candidate will have deep experience training and improving transformer-based language models, strong software engineering fundamentals, and a passion for solving complex problems in model training, evaluation, and AI systems. This position offers the opportunity to work on models that power the Lightning AI platform, customer-specific workloads, and research that translates into reusable training and platform capabilities.

$165k - $310k

Lightning AI is seeking a Senior Application Security Engineer to safeguard their AI, machine learning, and inference platforms. This is a hands-on technical role focused on integrating security into modern AI infrastructure, inference systems, and developer platforms. You will collaborate with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and develop security tooling that empowers engineers to operate efficiently and securely. The role is execution-driven, involving technical implementation, in-depth security reviews, and contributing to the growth of application security capabilities.

$180k - $220k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

$320k - $485k

We help the world's biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Senior Full stack Engineer, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for strong full stack engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$160k - $200k

NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities and directly influence customer success with breakthrough AI initiatives.

$184k - $357k

OpenAI

We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. Our team builds infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. We focus on turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. This role is backend-focused, and you will build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel, primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You will own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers.

$255k - $445k

As a Forward Deployed Engineer at Handshake AI Enterprise, you will embed directly within enterprise customer environments as part of a small, expert team. Your role will involve deeply understanding each customer's business, including their workflows and bottlenecks, to translate this knowledge into production-grade AI agents that measurably transform their operations. This is a full-stack ownership role, encompassing solution definition, agent building and deployment, evaluation design, and iterative performance improvement. You will develop into a genuine domain expert within your customer's vertical, leveraging this expertise to continuously enhance AI capabilities.

$155k - $170k

OpenAI

We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

We are seeking a curious and thoughtful Product Engineer to join our team and help build cutting-edge AI-powered video creation and collaboration tools. This role involves developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying generative models to production. You will work on a wide variety of exciting challenges in a fast-paced, high-ownership environment, collaborating with a world-class engineering team.

$240k - $290k

Perplexity is seeking a Technical Program Manager to act as the central point of contact between our model providers, engineering, and product teams, driving the advancement of our core inference platform. This role is crucial for managing one of the industry's highest-throughput inference stacks, serving diverse traffic across a dynamic portfolio of models. You will operate at the nexus of product, engineering, and finance, coordinating the smooth integration of new models and capacity while executing the roadmap for the inference platform itself. The ideal candidate possesses strong technical acumen, excels at coordinating diverse teams and external partners with competing deadlines, and is motivated by establishing operating models for functions with limited precedent.

$170k - $265k

Faire leverages machine learning and data insights to revolutionize the wholesale industry, empowering local retailers to compete against larger players. Our Applied AI/ML Scientists develop algorithmic solutions for recommender systems, spend optimization, and lifetime value predictions. As a tech lead in this role, you will own the vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. You will work across structured and unstructured data using various ML methods and act as a lead across multiple cross-functional workstreams, mentoring other scientists.

$247k - $339k